Sharing a Processor Among Many Job Classes
Journal of the ACM (JACM)
Wireless data performance in multi-cell scenarios
Proceedings of the joint international conference on Measurement and modeling of computer systems
Saturation Throughput Analysis of a System of Interfering IEEE 802.11 WLANs
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Stability of Parallel Queueing Systems with Coupled Service Rates
Discrete Event Dynamic Systems
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Unified fixed point analysis of IEEE 802.11(e) WLAN under saturated and unsaturated conditions
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
TCP performance optimization in multi-cell wireless local area networks
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
The impact of association on the capacity of WLANs
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Modeling multi-cell IEEE 802.11 WLANs with application to channel assignment
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Capacity of hierarchical WiFi/WiMAX networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
TCP performance optimization in multi-cell WLANs
Performance Evaluation
Unified fixed-point analysis of IEEE 802.11 WLAN under saturated and unsaturated conditions
Wireless Communications & Mobile Computing
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Performance of WLANs has been extensively studied during the past few years. While the focus has mostly been on isolated cells, the coverage of WLANs is in practice most often realised through several cells. Cells using the same frequency channel typically interact through the exclusion region enforced by the RTS/CTS mechanism prior to the transmission of any packet. In this paper, we investigate the impact of this interaction on the overall network capacity under realistic dynamic traffic conditions. Specifically, we represent each cell as a queue and derive the stability condition of the corresponding coupled queuing system. This condition is then used to calculate the network capacity. To gain insight into the particular nature of interference in multi-cell WLANs, we apply our model to a number of simple network topologies and explicitly derive the capacity in several cases. The results notably show that the capacity gain obtained by using M frequency channels can grow significantly faster than M, the rate one might intuitively expect. In addition to stability results, we present an approximate model to derive the impact of network load on the mean transfer rate seen by the users.